Knowledge Diagram Navigation:

Spatial co-ordinations are initially random, and will automatically re-arrange to minimize complexity based on distance between relationships. Mouse down and drag to pan. Right click on the strategic diagram toggles between motion and stationary. Hover over abstract node (orange) to view abstractions. Hover over leaf node to view corresponding narrative. Left click on the leaf node expands the narrative to view full text.

Narrative Analysis - Report

Key Focus

The labor economist at the Massachusetts Institute of Technology is best known for his in-depth studies showing how much technology and trade have eroded the incomes of millions of American workers over the years. ...

The researcher, whom The Economist once called "the academic voice of the American worker," started his career as a software developer and a leader of a computer-education nonprofit before switching to economics - and spending decades examining the impact of technology and globalization on workers and wages ...

Momentum supporting factors

(autor,thinking)

Challenge supporting factors

(workers,technology,american)

(autor,trade)

(technology,autor,trade)

(technology,trade)

(workers,technology,trade)

(workers,technology,massachusetts_institute)

(workers,technology,labor)

(workers,american)

(workers,trade)

(autor,workers)

(technology,autor,workers)

(technology,autor,massachusetts_institute)

(technology,autor,labor)

(technology,autor,in-depth)

(autor,labor)

Work-in-progress supporting factors

(workers,technology,american)

(autor,video)

(technology,autor,video)

(technology,video)

(workers,technology,video)

(workers,software,jobs)

(workers,video)

(autor,trend)

(technology,autor,trend)

(technology,trend)

(workers,technology,trend)

(workers,trend)

(software,the_economist)

(workers,software,the_economist)

(workers,technology,the_economist)

Time Period	Challenge	Momentum	WIP
Report	19.17	1.04	79.80

High Level Abstraction (HLA) combined

High Level Abstraction (HLA)	Report
(1) (workers,technology,american)	100.00
(2) (autor,video)	49.49
(3) (technology,autor,video)	48.47
(4) (technology,video)	47.12
(5) (workers,technology,video)	46.10
(6) (workers,software,jobs)	46.10
(7) (workers,video)	45.42
(8) (autor,trend)	45.08
(9) (technology,autor,trend)	44.41
(10) (technology,trend)	42.71
(11) (workers,technology,trend)	41.69
(12) (workers,trend)	41.02
(13) (autor,trade)	40.68
(14) (technology,autor,trade)	40.34
(15) (technology,trade)	38.31
(16) (workers,american)	37.63
(17) (workers,technology,trade)	37.29
(18) (software,the_economist)	36.61
(19) (workers,software,the_economist)	35.59
(20) (workers,technology,the_economist)	34.92
(21) (software,spending)	34.24
(22) (workers,software,spending)	33.22
(23) (workers,spending)	32.54
(24) (workers,technology,spending)	32.20
(25) (workers,technology,software)	31.53
(26) (software,researcher)	31.19
(27) (workers,software,researcher)	30.17
(28) (workers,technology,researcher)	29.83
(29) (technology,autor,workers)	29.83
(30) (workers,technology,massachusetts_institute)	29.49
(31) (workers,technology,labor)	29.15
(32) (technology,autor,intelligence)	28.81
(33) (workers,technology,intelligence)	28.14
(34) (software,silicon_valley)	27.80
(35) (workers,silicon_valley)	27.12
(36) (workers,software,silicon_valley)	26.44
(37) (software,risk)	26.10
(38) (workers,risk)	25.42
(39) (workers,software,risk)	24.75
(40) (software,jobs)	24.41
(41) (technology,autor,software)	24.41
(42) (software,globalization)	22.37
(43) (software,economics)	22.37
(44) (workers,software,globalization)	21.36
(45) (workers,software,economists)	21.02
(46) (workers,software,economics)	19.66
(47) (workers,software,doomsayers)	19.32
(48) (workers,trade)	18.31
(49) (workers,the_economist)	17.97
(50) (workers,researcher)	17.63
(51) (workers,productivity)	17.29
(52) (autor,workers)	16.95
(53) (autor,software)	13.90
(54) (technology,software)	10.51
(55) (technology,autor,national_bureau)	9.83
(56) (technology,autor,massachusetts_institute)	9.49
(57) (autor,labor)	8.81
(58) (technology,autor,labor)	8.47
(59) (technology,autor,in-depth)	7.80
(60) (technology,autor,imitate)	7.46
(61) (autor,wage)	7.12
(62) (technology,wage)	6.78
(63) (technology,tool)	6.44
(64) (autor,jobs)	6.44
(65) (technology,thinking)	6.10
(66) (technology,skewing)	5.76
(67) (technology,service)	5.42
(68) (technology,positive)	5.08
(69) (autor,university)	2.71
(70) (autor,thinking)	2.37
(71) (autor,technologies)	2.03
(72) (software,college)	1.69
(73) (software,high-stakes)	0.34

Supporting narratives:

Please refer to knowledge diagram for a complete set of supporting narratives.

momentum - Back to HLA

looks like a stunning conversion for a longtime expert on technology's work force casualties. But he said the facts had changed and so had his thinking.. . Modern A.I., Mr. Autor said, is a fundamentally different technology, opening the door to new possibilities ...
High Level Abstractions:

(autor,thinking)

challenge - Back to HLA

The labor economist at the Massachusetts Institute of Technology is best known for his in-depth studies showing how much technology and trade have eroded the incomes of millions of American workers over the years. ...
High Level Abstractions:

(technology,trade)
(autor,workers)
(workers,technology,american)
(workers,technology,trade)
(technology,autor,trade)
(autor,trade)
(technology,autor,workers)
Inferred entity relationships (7)
(technology,trade,workers) [inferred]
(autor,technology,trend) [inferred]
(autor,technology,trade) [inferred]
(trade,workers) [inferred]
(technology,trade) [inferred]
(autor,technology,video) [inferred]
(autor,technology,workers) [inferred]

challenge - Back to HLA

The labor economist at the Massachusetts Institute of Technology is best known for his in-depth studies showing how much technology and trade have eroded the incomes of millions of American workers over the years ...
High Level Abstractions:

(workers,technology,massachusetts_institute)
(workers,technology,labor)

challenge - Back to HLA

The labor economist at the Massachusetts Institute of Technology is best known for his in-depth studies showing how much technology and trade have eroded the incomes of millions of American workers over the years.. . But Mr. Autor is now making the case that the new wave of technology - generative artificial intelligence, which can produce hyper-realistic images and video and convincingly imitate humans'voices and writing - could reverse that trend ...
High Level Abstractions:

(workers,american)
(workers,trade)

challenge - Back to HLA

David Autor seems an unlikely A.I. optimist. The labor economist at the Massachusetts Institute of Technology is best known for his in-depth studies showing how much technology and trade have eroded the incomes of millions of American workers over the years ...
High Level Abstractions:

(technology,autor,in-depth)
(technology,autor,massachusetts_institute)
(technology,autor,labor)
Inferred entity relationships (3)
(autor,labor) [inferred]
(massachusetts_institute,technology,workers) [inferred]
(labor,technology,workers) [inferred]

challenge - Back to HLA

. David Autor seems an unlikely A.I. optimist. The labor economist at the Massachusetts Institute of Technology is best known for his in-depth studies showing how much technology and trade have eroded the incomes of millions of American workers over the years ...
High Level Abstractions:

(autor,labor)
Inferred entity relationships (1)
(autor,labor,technology) [inferred]

WIP - Back to HLA

The researcher, whom The Economist once called "the academic voice of the American worker," started his career as a software developer and a leader of a computer-education nonprofit before switching to economics - and spending decades examining the impact of technology and globalization on workers and wages ...
High Level Abstractions:

(workers,technology,american)
(workers,technology,software)
(workers,technology,the_economist)
(workers,software,researcher)
(software,the_economist)
(workers,software,the_economist)
(workers,technology,researcher)
(software,researcher)
(software,economics)
(workers,software,economics)
Inferred entity relationships (8)
(software,technology) [inferred]
(software,the_economist,workers) [inferred]
(economics,software,workers) [inferred]
(researcher,software) [inferred]
(software,the_economist) [inferred]
(researcher,software,workers) [inferred]
(economics,software) [inferred]
(the_economist,workers) [inferred]

WIP - Back to HLA

Autor is now making the case that the new wave of technology - generative artificial intelligence, which can produce hyper-realistic images and video and convincingly imitate humans'voices and writing - could reverse that trend. ...
High Level Abstractions:

(autor,video)
(technology,video)
(workers,video)
(technology,autor,imitate)
(workers,technology,video)
(workers,technology,trend)
(workers,trend)
(autor,trend)
(technology,autor,video)
(technology,autor,trend)
(technology,trend)
Inferred entity relationships (10)
(technology,video) [inferred]
(technology,video,workers) [inferred]
(technology,trend) [inferred]
(autor,technology,trend) [inferred]
(autor,technology,trade) [inferred]
(technology,trend,workers) [inferred]
(trend,workers) [inferred]
(video,workers) [inferred]
(autor,technology,workers) [inferred]
(autor,technology,video) [inferred]

WIP - Back to HLA

The researcher, whom The Economist once called "the academic voice of the American worker," started his career as a software developer and a leader of a computer-education nonprofit before switching to economics - and spending decades examining the impact of technology and globalization on workers and wages. ...
High Level Abstractions:

(workers,technology,spending)
(workers,software,spending)
(software,globalization)
(workers,software,globalization)
(software,spending)
(workers,spending)
(technology,autor,software)
Inferred entity relationships (8)
(software,technology) [inferred]
(globalization,software,workers) [inferred]
(autor,software) [inferred]
(globalization,software) [inferred]
(software,technology,workers) [inferred]
(software,spending,workers) [inferred]
(spending,workers) [inferred]
(software,spending) [inferred]

WIP - Back to HLA

. But Mr. Autor is now making the case that the new wave of technology - generative artificial intelligence, which can produce hyper-realistic images and video and convincingly imitate humans'voices and writing - could reverse that trend ...
High Level Abstractions:

(technology,autor,intelligence)
(workers,technology,intelligence)
Inferred entity relationships (1)
(intelligence,technology,workers) [inferred]

WIP - Back to HLA

Not just Silicon Valley doomsayers, but mainstream economists predict that many jobs, from call center workers to software developers, are at risk ...
High Level Abstractions:

(workers,software,doomsayers)
(software,silicon_valley)
(workers,silicon_valley)
(workers,software,silicon_valley)
Inferred entity relationships (2)
(silicon_valley,software) [inferred]
(silicon_valley,software,workers) [inferred]

WIP - Back to HLA

Not just Silicon Valley doomsayers, but mainstream economists predict that many jobs, from call center workers to software developers, are at risk. In a report last year, Goldman Sachs concluded that generative A.I. ...
High Level Abstractions:

(software,risk)
(workers,risk)
(workers,software,risk)
Inferred entity relationships (2)
(risk,software,workers) [inferred]
(risk,software) [inferred]

WIP - Back to HLA

Not just Silicon Valley doomsayers, but mainstream economists predict that many jobs, from call center workers to software developers, are at risk. In a report last year, Goldman Sachs concluded that generative A.I ...
High Level Abstractions:

(workers,software,jobs)
(software,jobs)
(workers,software,economists)
Inferred entity relationships (2)
(jobs,software,workers) [inferred]
(jobs,software) [inferred]

WIP - Back to HLA

Those jobs were typically done by middle-skill workers without four-year college degrees.. . A.I., by contrast, is trained on vast troves of data - virtually all the text, images and software code on the internet ...
High Level Abstractions:

(workers,software,jobs)
(software,college)
Inferred entity relationships (1)
(jobs,software) [inferred]

WIP - Back to HLA

And if more people, including those without college degrees, can do more valuable work, they should be paid more, lifting more workers into the middle class.. . The researcher, whom The Economist once called "the academic voice of the American worker," started his career as a software developer and a leader of a computer-education nonprofit before switching to economics - and spending decades examining the impact of technology and globalization on workers and wages ...
High Level Abstractions:

(workers,american)
(workers,the_economist)
(workers,researcher)

WIP - Back to HLA

. But even if A.I. delivers the largest productivity gains to less-experienced workers, that does not mean they will reap the rewards of higher pay and better career paths ...
High Level Abstractions:

(workers,productivity)

WIP - Back to HLA

The researcher, whom The Economist once called "the academic voice of the American worker," started his career as a software developer and a leader of a computer-education nonprofit before switching to economics - and spending decades examining the impact of technology and globalization on workers and wages.. . Mr. Autor, 59, was an author of an influential study in 2003 that concluded that 60 percent of the shift in demand favoring college-educated workers over the previous three decades was attributable to computerization ...
High Level Abstractions:

(technology,autor,workers)
Inferred entity relationships (3)
(autor,technology,trend) [inferred]
(autor,technology,trade) [inferred]
(autor,technology,video) [inferred]

WIP - Back to HLA

It can, he continued, change the economics of high-stakes decision-making so more people can take on some of the work that is now the province of elite, and expensive, experts like doctors, lawyers, software engineers and college professors. ...
High Level Abstractions:

(autor,software)
(technology,autor,software)
(technology,software)
Inferred entity relationships (4)
(software,technology) [inferred]
(autor,software) [inferred]
(software,technology,workers) [inferred]
(autor,software,technology) [inferred]

WIP - Back to HLA

Autor wrote in a National Bureau of Economic Research paper published in February.. . Mr. Autor's stance on A.I. looks like a stunning conversion for a longtime expert on technology's work force casualties ...
High Level Abstractions:

(technology,autor,national_bureau)

WIP - Back to HLA

Later research examined the role of technology in wage polarization and in skewing employment growth toward low-wage service jobs.. . Other economists view Mr ...
High Level Abstractions:

(autor,wage)
(technology,wage)

WIP - Back to HLA

"But I do think there is value in imagining a positive outcome, encouraging debate and preparing for a better future," he said. "This technology is a tool, and how we decide to use it is up to us.". . ...
High Level Abstractions:

(technology,tool)

WIP - Back to HLA

looks like a stunning conversion for a longtime expert on technology's work force casualties. But he said the facts had changed and so had his thinking.. ...
High Level Abstractions:

(technology,thinking)

WIP - Back to HLA

Later research examined the role of technology in wage polarization and in skewing employment growth toward low-wage service jobs.. . Other economists view Mr. ...
High Level Abstractions:

(technology,skewing)
(technology,service)

WIP - Back to HLA

"But I do think there is value in imagining a positive outcome, encouraging debate and preparing for a better future," he said. "This technology is a tool, and how we decide to use it is up to us." ...
High Level Abstractions:

(technology,positive)

WIP - Back to HLA

"A.I., if used well, can assist with restoring the middle-skill, middle-class heart of the U.S. labor market that has been hollowed out by automation and globalization," Mr. Autor wrote in a National Bureau of Economic Research paper published in February. ...
High Level Abstractions:

(autor,labor)
Inferred entity relationships (1)
(autor,labor,technology) [inferred]

WIP - Back to HLA

Later research examined the role of technology in wage polarization and in skewing employment growth toward low-wage service jobs.. . Other economists view Mr. Autor's latest treatise as a stimulating, though speculative, thought exercise. ...
High Level Abstractions:

(autor,jobs)

WIP - Back to HLA

In a report last year, Goldman Sachs concluded that generative A.I. could automate activities equivalent to 300 million full-time jobs globally.. . In Mr. Autor's latest report, which was also published in the research journal Noema Magazine, he discounts the likelihood that A.I ...
High Level Abstractions:

(autor,jobs)

WIP - Back to HLA

"I'm a great admirer of David Autor's work, but his hypothesis is only one possible scenario," said Laura Tyson, a professor at the Haas School of Business at the University of California, Berkeley, who was chair of the Council of Economic Advisers during the Clinton administration ...
High Level Abstractions:

(autor,university)

WIP - Back to HLA

"We've been here before with other digital technologies, and it hasn't happened," he said.. . Mr. Autor acknowledges the challenges. "But I do think there is value in imagining a positive outcome, encouraging debate and preparing for a better future," he said ...
High Level Abstractions:

(autor,technologies)

WIP - Back to HLA

It can, he continued, change the economics of high-stakes decision-making so more people can take on some of the work that is now the province of elite, and expensive, experts like doctors, lawyers, software engineers and college professors ...
High Level Abstractions:

(software,high-stakes)
(software,economics)
Inferred entity relationships (1)
(economics,software,workers) [inferred]

WIP - Back to HLA

It can, he continued, change the economics of high-stakes decision-making so more people can take on some of the work that is now the province of elite, and expensive, experts like doctors, lawyers, software engineers and college professors. And if more people, including those without college degrees, can do more valuable work, they should be paid more, lifting more workers into the middle class ...
High Level Abstractions:

(software,college)

Semantics Relevance

How One Tech Skeptic Decided A.I. Might Benefit the Middle Class